Deep Raval
Senior Software Engineer at Autodesk
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolDeep Raval is a Senior Software Engineer based in Toronto with six years of experience building backend systems, automation platforms, and security tooling across fintech, enterprise SaaS, and AI-focused teams. Currently working on Fusion Automation Platform at Autodesk, he progressed rapidly from SDE II to senior roles after hands-on stints at Morgan Stanley, Nuance, Crest Data and AI-focused internships. Deep contributes to notable open-source algorithm collections on GitHub, implementing and refactoring classic C++ algorithms and ciphers, which underscores a strong foundations-in-algorithms mindset alongside production engineering. Comfortable across full-stack and machine learning-inflected projects, he combines practical problem-solving with a penchant for clean documentation and maintainable code. An unexpected detail: he’s contributed playful but educational cipher implementations (Caesar, Vigenère, Morse, XOR) to a widely used algorithms repo, signaling both curiosity and teaching-oriented craftsmanship.
6 years of coding experience
4 years of employment as a software developer
Master's degree, Applied Computer Science (Co-op), Master's degree, Applied Computer Science (Co-op) at Concordia UniversityBachelor of Engineering - BE, Information and Communication Technology, Bachelor of Engineering - BE, Information and Communication Technology at Gujarat Technological University (GTU)High School, Physics, High School, Physics at M & M Mehta High School, Godhra
English, Hindi, Gujarati
Stackoverflow
407reputation
58kreached
10answers
0questions
Github Skills (20)
algorithm10
c-language10
data-structure10
crypt10
data-structures10
cpp10
cprogramming-language10
sorting-algorithms10
machine-learning9
computer-science9
mathematics8
math8
sqrt6
python6
visual-studio-code6
Programming languages (5)
Github contributions (5)
TheAlgorithms/C-Plus-Plus
Jul 2020 - Oct 2020
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 11 commits, 16 PRs in 3 months
Contributions summary:Deep contributed significantly to the project by implementing various algorithms and data structures in C++. They added implementations of algorithms like BogoSort, Caesar Cipher, XOR Cipher, Vigenère cipher and Morse Code. Additionally, the user refactored code, improved documentation, and fixed documentation issues.
mathematicscomputer-sciencealgorithms-implementededucational-purposesscience
imdeep2905/Neural-Network-Sandbox
Jan 2020 - Jan 2022
This is a source code of Software called Neural Network Sandbox.Neural Network Sandbox makes making and training basic feed forward neural networks easy.
Contributions:1 release, 163 commits, 96 pushes in 2 years
pythondeep-learningsandboxneural-networksmachine-learning
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